Robust stability for discrete-time stochastic genetic regulatory networks

被引：29
|
作者：
Ma, Qian [1 ]
Xu, Shengyuan [1 ]
Zou, Yun [1 ]
Lu, Jinjun [2 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China
[2] Nantong Univ, Sch Elect Engn, Nantong 226019, Peoples R China
来源：
NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS | 2011年 / 12卷 / 05期
关键词：
Robust stability; Genetic regulatory networks; Discrete-time; Linear matrix inequalities;
D O I：
10.1016/j.nonrwa.2011.03.008
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Attention in this paper is focused on the study of the problem of asymptotic stability for a class of discrete-time stochastic genetic regulatory networks with time-varying but norm-bounded parameter uncertainties. By the Lyapunov-Krasovskii functional approach, delay-dependent stability criteria are derived in terms of linear matrix inequalities. Simulation examples are provided to show the effectiveness of the proposed results. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码：2586 / 2595
页数：10
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